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Allocative efficiency measurement revisited--Do we really need input prices?

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  • Badunenko, Oleg
  • Fritsch, Michael
  • Stephan, Andreas

Abstract

The traditional approach to measuring allocative efficiency exploits input prices, which are rarely known at the firm level. This paper proves allocative efficiency can be measured as a profit-oriented distance to the frontier in a profit-technical efficiency space. This new approach does not require information on input prices. To validate the new approach, we perform a Monte-Carlo experiment providing evidence that the estimates of allocative efficiency employing the new and the traditional approach are highly correlated. Finally, as an illustration, we apply the new approach to a sample of about 900 enterprises from the chemical manufacturing industry in Germany.

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Bibliographic Info

Article provided by Elsevier in its journal Economic Modelling.

Volume (Year): 25 (2008)
Issue (Month): 5 (September)
Pages: 1093-1109

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Handle: RePEc:eee:ecmode:v:25:y:2008:i:5:p:1093-1109

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Web page: http://www.elsevier.com/locate/inca/30411

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Cited by:
  1. Badunenko, Oleg & Fritsch, Michael & Stephan, Andreas, 2006. "Allocative efficiency measurement revisited: Do we really need input prices?," Working Paper Series 2006,7, European University Viadrina Frankfurt (Oder), The Postgraduate Research Programme Capital Markets and Finance in the Enlarged Europe.
  2. Bialkowski, Jedrzej & Gottschalk, Katrin & Wisniewski, Tomasz Piotr, 2006. "Political Orientation of Government and Stock Market Returns," Working Paper Series 2006,9, European University Viadrina Frankfurt (Oder), The Postgraduate Research Programme Capital Markets and Finance in the Enlarged Europe.
  3. Ali, Syed Zahid & Anwar, Sajid & Valadkhani, Abbas, 2012. "Macroeconomic consequences of increased productivity in less developed economies," Economic Modelling, Elsevier, vol. 29(3), pages 621-631.
  4. Vouldis, Angelos T. & Michaelides, Panayotis G. & Tsionas, Efthymios G., 2010. "Estimating semi-parametric output distance functions with neural-based reduced form equations using LIML," Economic Modelling, Elsevier, vol. 27(3), pages 697-704, May.

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